Prompt Engineering Checklist 2025
One-page printable reference. Use with ChatGPT, Claude, and Gemini.
Before Writing
- Goal: clear objective + success criteria
- Audience: expertise level + tone
- Deliverable: bullets, table, JSON, code, etc.
- Constraints: scope, sources, length, tokens
- Model: ChatGPT (structured/code), Claude (analysis), Gemini (multimodal/research)
Structure
- Context: minimal background and data
- Instructions: one explicit task; guardrails
- Examples: 1–3 for style/format
- Output: exact structure, tone, length
Optimize
- BIV Loop: Baseline → Improve → Verify
- Verification: assumptions, sources, edge cases
- Rubric (0–5): Clarity, Evidence, Actionability
- Save winners as templates; track cost
ChatGPT
- Set role + headings/lists/tables
- Split into numbered sub‑tasks
- Few‑shot examples for consistency
- Ask for JSON/code when integrating
Claude
- Provide rich context + step‑by‑step
- Request critique and uncertainty flags
- Use structured sections for reasoning
- Favor depth over breadth
Gemini
- Call out multimodal/data inputs
- Set research parameters + citations
- Ask for verification + limitations
- Prefer concise, scannable bullets
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